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Abstract #2822

The diffusion-ODF as a band-pass filter - selecting the right diffusion and improving angular resolution

Luis Miguel Lacerda 1 , Jonathan I. Sperl 2 , Marion I. Menzel 2 , Gareth Barker 1 , and Flavio Dell'Acqua 1

1 Department of Neuroimaging, The Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, Denmark Hill, United Kingdom, 2 GE Global Research, Munich, BY, Germany

Model-free diffusion imaging techniques enable the reconstruction of the orientation distribution function(ODF) from the diffusion propagator. This function should only recover displacement probabilities consistent with white matter avoiding as much as possible partial volume contaminations. In this study, we propose a new method for ODF computation; it is characterized by restricting integration to a range of displacement probabilities, derived from prior knowledge of the expected physical displacements associated with diffusion along the direction of axons. The proposed method returns better white matter orientation showing higher angular resolution, without the need of min-max normalisation, thus retaining the quantitative nature of ODFs.

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